knitr::opts_knit$set(root.dir = "/Users/lucamainini/Documents/GitHub/np_project/")
output <- tseriescm(data,maxiter=4000,level=FALSE,trend=TRUE,
seasonality=TRUE,priorb=FALSE,b=0)
Iteration Number: 50 . Progress: 1.25 %
Iteration Number: 100 . Progress: 2.5 %
Iteration Number: 150 . Progress: 3.75 %
Iteration Number: 200 . Progress: 5 %
Iteration Number: 250 . Progress: 6.25 %
Iteration Number: 300 . Progress: 7.5 %
Iteration Number: 350 . Progress: 8.75 %
Iteration Number: 400 . Progress: 10 %
Iteration Number: 450 . Progress: 11.25 %
Iteration Number: 500 . Progress: 12.5 %
Iteration Number: 550 . Progress: 13.75 %
Iteration Number: 600 . Progress: 15 %
Iteration Number: 650 . Progress: 16.25 %
Iteration Number: 700 . Progress: 17.5 %
Iteration Number: 750 . Progress: 18.75 %
Iteration Number: 800 . Progress: 20 %
Iteration Number: 850 . Progress: 21.25 %
Iteration Number: 900 . Progress: 22.5 %
Iteration Number: 950 . Progress: 23.75 %
Iteration Number: 1000 . Progress: 25 %
Iteration Number: 1050 . Progress: 26.25 %
Iteration Number: 1100 . Progress: 27.5 %
Iteration Number: 1150 . Progress: 28.75 %
Iteration Number: 1200 . Progress: 30 %
Iteration Number: 1250 . Progress: 31.25 %
Iteration Number: 1300 . Progress: 32.5 %
Iteration Number: 1350 . Progress: 33.75 %
Iteration Number: 1400 . Progress: 35 %
Iteration Number: 1450 . Progress: 36.25 %
Iteration Number: 1500 . Progress: 37.5 %
Iteration Number: 1550 . Progress: 38.75 %
Iteration Number: 1600 . Progress: 40 %
Iteration Number: 1650 . Progress: 41.25 %
Iteration Number: 1700 . Progress: 42.5 %
Iteration Number: 1750 . Progress: 43.75 %
Iteration Number: 1800 . Progress: 45 %
Iteration Number: 1850 . Progress: 46.25 %
Iteration Number: 1900 . Progress: 47.5 %
Iteration Number: 1950 . Progress: 48.75 %
Iteration Number: 2000 . Progress: 50 %
Iteration Number: 2050 . Progress: 51.25 %
Iteration Number: 2100 . Progress: 52.5 %
Iteration Number: 2150 . Progress: 53.75 %
Iteration Number: 2200 . Progress: 55 %
Iteration Number: 2250 . Progress: 56.25 %
Iteration Number: 2300 . Progress: 57.5 %
Iteration Number: 2350 . Progress: 58.75 %
Iteration Number: 2400 . Progress: 60 %
Iteration Number: 2450 . Progress: 61.25 %
Iteration Number: 2500 . Progress: 62.5 %
Iteration Number: 2550 . Progress: 63.75 %
Iteration Number: 2600 . Progress: 65 %
Iteration Number: 2650 . Progress: 66.25 %
Iteration Number: 2700 . Progress: 67.5 %
Iteration Number: 2750 . Progress: 68.75 %
Iteration Number: 2800 . Progress: 70 %
Iteration Number: 2850 . Progress: 71.25 %
Iteration Number: 2900 . Progress: 72.5 %
Iteration Number: 2950 . Progress: 73.75 %
Iteration Number: 3000 . Progress: 75 %
Iteration Number: 3050 . Progress: 76.25 %
Iteration Number: 3100 . Progress: 77.5 %
Iteration Number: 3150 . Progress: 78.75 %
Iteration Number: 3200 . Progress: 80 %
Iteration Number: 3250 . Progress: 81.25 %
Iteration Number: 3300 . Progress: 82.5 %
Iteration Number: 3350 . Progress: 83.75 %
Iteration Number: 3400 . Progress: 85 %
Iteration Number: 3450 . Progress: 86.25 %
Iteration Number: 3500 . Progress: 87.5 %
Iteration Number: 3550 . Progress: 88.75 %
Iteration Number: 3600 . Progress: 90 %
Iteration Number: 3650 . Progress: 91.25 %
Iteration Number: 3700 . Progress: 92.5 %
Iteration Number: 3750 . Progress: 93.75 %
Iteration Number: 3800 . Progress: 95 %
Iteration Number: 3850 . Progress: 96.25 %
Iteration Number: 3900 . Progress: 97.5 %
Iteration Number: 3950 . Progress: 98.75 %
Iteration Number: 4000 . Progress: 100 %
Number of groups of the chosen cluster configuration: 46
Time series in group 1 : alabama
Time series in group 2 : arizona
Time series in group 3 : arkansas
Time series in group 4 : california
Time series in group 5 : colorado
Time series in group 6 : connecticut
Time series in group 7 : florida
Time series in group 8 : georgia
Time series in group 9 : hawaii
Time series in group 10 : idaho
Time series in group 11 : illinois
Time series in group 12 : indiana
Time series in group 13 : iowa
Time series in group 14 : kansas
Time series in group 15 : kentucky
Time series in group 16 : louisiana
Time series in group 17 : maine
Time series in group 18 : maryland
Time series in group 19 : massachusetts
Time series in group 20 : michigan
Time series in group 21 : minnesota
Time series in group 22 : mississippi
Time series in group 23 : missouri
Time series in group 24 : montana
Time series in group 25 : nebraska
Time series in group 26 : new jersey
Time series in group 27 : new mexico
Time series in group 28 : new york
Time series in group 29 : north carolina
Time series in group 30 : north dakota
Time series in group 31 : ohio
Time series in group 32 : oklahoma
Time series in group 33 : oregon
Time series in group 34 : other states
Time series in group 35 : pennsylvania
Time series in group 36 : south carolina
Time series in group 37 : south dakota
Time series in group 38 : tennessee
Time series in group 39 : texas
Time series in group 40 : utah
Time series in group 41 : vermont
Time series in group 42 : virginia
Time series in group 43 : washington
Time series in group 44 : west virginia
Time series in group 45 : wisconsin
Time series in group 46 : wyoming
HM Measure: 0
clusterplots(output,data)












diagplots(output)






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